Using Unmanned Aerial Vehicle Remote Sensing and a Monitoring Information System to Enhance the Management of Unauthorized Structures

Yuanrong He; Weiwei Ma; Zelong Ma; Wenjie Fu; Chihcheng Chen; Cheng-Fu Yang; Zhen Liu

doi:10.3390/app9224954

Applied Sciences (Nov 2019)

Using Unmanned Aerial Vehicle Remote Sensing and a Monitoring Information System to Enhance the Management of Unauthorized Structures

Yuanrong He,
Weiwei Ma,
Zelong Ma,
Wenjie Fu,
Chihcheng Chen,
Cheng-Fu Yang,
Zhen Liu

Affiliations

Yuanrong He: Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China
Weiwei Ma: Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China
Zelong Ma: Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China
Wenjie Fu: Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China
Chihcheng Chen: School of Information Engineering, Jimei University, Xiamen 361021, China
Cheng-Fu Yang: Department of Chemical and Materials Engineering, National University of Kaohsiung, Kaohsiung 081168, Taiwan
Zhen Liu: School of Information Engineering, Jimei University, Xiamen 361021, China

DOI: https://doi.org/10.3390/app9224954
Journal volume & issue: Vol. 9, no. 22
p. 4954

Abstract

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In this research, we investigated using unmanned aerial vehicle (UAV) photographic technology to prevent the further expansion of unauthorized construction and thereby reduce postdisaster losses. First, UAV dynamic aerial photography was used to obtain dynamic digital surface model (DSM) data and elevation changes of 2−8 m as the initial sieve target. Then, two periods of dynamic orthophoto images were superimposed for human−computer interaction interpretation, so we could quickly distinguish buildings undergoing expansion, new construction, or demolition. At the same time, mobile geographic information system (GIS) software was used to survey the field, and the information gathered was developed to support unauthorized construction detection. Finally, aerial images, interpretation results, and ground survey information were integrated and released on WebGIS to build a regulatory platform that can achieve accurate management and effectively prevent violations.

Published in Applied Sciences

ISSN: 2076-3417 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Engineering (General). Civil engineering (General); Science: Biology (General); Science: Physics; Science: Chemistry
Website: http://www.mdpi.com/journal/applsci

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